Using Remote Sensing in the Estimation of Pinus brutia Ten. Groups Forest Parameters in Jableh Region  

Ilene Mahfoud * (1) and Suha Nbeaa (1)

(1).Forestry and Ecology department, Agriculture faculty, Tishreen university.Latakia –Syria.

(*Corresponding author: Email

Received: 19/11/2020                                Accepted: 11/02/2020


The aim of this study was to use the Landsat 7 ETM+ and  Landsat 8 images (taken in 16 November 2016) for forest parameters estimation of the most important plantation sites of Pinus brutia Ten. in Jableh region. Thirty sample plots were used to conduct field work, during October and November 2016, covering the whole variance within area of study (Jableh). After that, linear regression relationships between the forest parameters (tree diameter and height, basal area and wooden stock) with the spectral bands of Landsat 7 and Landsat 8 images, were developed. Linear relationships between the forest parameters with  values of some  spectral indices calculated using the same  images, were also studied. The results showed  significant regressions (P value=0.05) between the forest parameters and the spectral bands of the Landsat 7 and Landsat 8 images. Regressions between the  forest parameters  and both of  band 5 (b5=0.85-0.88 µm) and band 9 (b9=1.36-1.38 µm) of the Landsat 8 image were non-significant. Results also revealed significant regressions between all studied spectral indices and  studied forest parameters (excluding EVI2 with basal area) . Consequently, reliable models were constructed  to get forest data for pinus brtuia Ten. groups in Jableh region, for the desired times, in case the same type of images, taken in the same period of the year, will be used.

Keywords:  Forest parameters, Turkish pine, Spectral indices, Landsat7, landsat8, Linear regression

Full paper in Arabic: PDF